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Empirical analysis of partial discharge data and innovative visualization tools for defect identification under DC stress. / Abdul Madhar, Saliha ; Mraz, Petr; Rodrigo Mor, Armando; Ross, Rob.

In: International Journal of Electrical Power & Energy Systems, Vol. 123, 106270, 26.06.2020.

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Abdul Madhar, Saliha ; Mraz, Petr ; Rodrigo Mor, Armando ; Ross, Rob. / Empirical analysis of partial discharge data and innovative visualization tools for defect identification under DC stress. In: International Journal of Electrical Power & Energy Systems. 2020 ; Vol. 123.

BibTeX

@article{a4e8c37d9e0a46458be4bc345d7ba30e,
title = "Empirical analysis of partial discharge data and innovative visualization tools for defect identification under DC stress",
abstract = "This paper presents several approaches to the analysis of partial discharge (PD) data. Three common defects namely corona, surface and floating electrode are studied with the goal of defect identification under DC stress conditions. One of the major concerns with DC-PD testing, is its non-repetitive/erratic pulse pattern. This paper, however, only deals with the repetitive stages of discharge that will allow the study of their resultant patterns and trends. Several unique features such as the formative trend in the probability plot of time between discharges for the three common defect types shows promise in the quest for defect identification under DC. Further, the paper also describes in which way a three-pulse PSA diagram cannot serve as a standalone figure and hence requires a change in perspective by either adding or reducing a dimension. The last part of the paper presents a test methodology to identify the discharge source based on various discharge features.",
keywords = "Defect identification, Partial discharge (PD), Patterns, Pulse Sequence Analysis (PSA)",
author = "{Abdul Madhar}, Saliha and Petr Mraz and {Rodrigo Mor}, Armando and Rob Ross",
year = "2020",
month = jun,
day = "26",
doi = "10.1016/j.ijepes.2020.106270",
language = "English",
volume = "123",
journal = "International Journal of Electrical Power & Energy Systems",
issn = "0142-0615",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Empirical analysis of partial discharge data and innovative visualization tools for defect identification under DC stress

AU - Abdul Madhar, Saliha

AU - Mraz, Petr

AU - Rodrigo Mor, Armando

AU - Ross, Rob

PY - 2020/6/26

Y1 - 2020/6/26

N2 - This paper presents several approaches to the analysis of partial discharge (PD) data. Three common defects namely corona, surface and floating electrode are studied with the goal of defect identification under DC stress conditions. One of the major concerns with DC-PD testing, is its non-repetitive/erratic pulse pattern. This paper, however, only deals with the repetitive stages of discharge that will allow the study of their resultant patterns and trends. Several unique features such as the formative trend in the probability plot of time between discharges for the three common defect types shows promise in the quest for defect identification under DC. Further, the paper also describes in which way a three-pulse PSA diagram cannot serve as a standalone figure and hence requires a change in perspective by either adding or reducing a dimension. The last part of the paper presents a test methodology to identify the discharge source based on various discharge features.

AB - This paper presents several approaches to the analysis of partial discharge (PD) data. Three common defects namely corona, surface and floating electrode are studied with the goal of defect identification under DC stress conditions. One of the major concerns with DC-PD testing, is its non-repetitive/erratic pulse pattern. This paper, however, only deals with the repetitive stages of discharge that will allow the study of their resultant patterns and trends. Several unique features such as the formative trend in the probability plot of time between discharges for the three common defect types shows promise in the quest for defect identification under DC. Further, the paper also describes in which way a three-pulse PSA diagram cannot serve as a standalone figure and hence requires a change in perspective by either adding or reducing a dimension. The last part of the paper presents a test methodology to identify the discharge source based on various discharge features.

KW - Defect identification

KW - Partial discharge (PD)

KW - Patterns

KW - Pulse Sequence Analysis (PSA)

UR - http://www.scopus.com/inward/record.url?scp=85086824157&partnerID=8YFLogxK

U2 - 10.1016/j.ijepes.2020.106270

DO - 10.1016/j.ijepes.2020.106270

M3 - Article

VL - 123

JO - International Journal of Electrical Power & Energy Systems

JF - International Journal of Electrical Power & Energy Systems

SN - 0142-0615

M1 - 106270

ER -

ID: 74304482